code: def test_convert_nonlinear_inequality_constraints(self):
      def nlc(x):
          return x[..., 2]
  
      def nlc2(x):
          return x[..., 3]
  
      nlcs = [nlc]
      with self.assertWarns(DeprecationWarning):
          new_nlcs = _convert_nonlinear_inequality_constraints(nlcs)
      self.assertEqual(new_nlcs, [(nlc, True)])
  
      nlcs = [(nlc, False)]
      new_nlcs = _convert_nonlinear_inequality_constraints(nlcs)
      self.assertEqual(new_nlcs, [(nlc, False)])
  
      nlcs = [(nlc, False), nlc2]
      with self.assertWarns(DeprecationWarning):
          new_nlcs = _convert_nonlinear_inequality_constraints(nlcs)
      self.assertEqual(new_nlcs, [(nlc, False), (nlc2, True)])
  
file_path: botorch/test/generation/test_utils.py
imports: from __future__ import annotations
  from itertools import product
  import torch
  from botorch.acquisition import FixedFeatureAcquisitionFunction
  from botorch.generation.utils import _convert_nonlinear_inequality_constraints, _flip_sub_unique, _remove_fixed_features_from_optimization
  from botorch.utils.testing import BotorchTestCase, MockAcquisitionFunction
label_desc: Use image node_id 1 for calling the TestGenerationUtils obj's underlying member method code with example usage: obj.test_convert_nonlinear_inequality_constraints() and returns: x, x